基于无人机的高层住宅最后“一百米”配送优化

针对城市高层住宅顾客对上门配送服务的需求，借助无人机停放平台，考虑包裹异质性以及无人机在不同配送阶段的精确能耗，构建以无人机飞行成本和能耗成本最小为目标，以无人机容量、电池组容量等为约束的高层住宅无人机上门配送模型，解决“垂直位置最后一百米配送”问题。基于此模型，设计带变邻域下降(VND)搜索的混合蚁群算法(HACO-VND)，引入4个算子进行变邻域下降搜索，为了提高算法的求解性能，提出两种局部搜索算子组合，根据顾客点数量使用不同的算子组合。实验结果表明，HACO-VND算法较CPLEX在求解精度与求解时间方面更优，特别是在大中型算例中表现出较佳性能。参数分析表明，高层住宅楼层数越多，无人机单次 飞行的能耗利用率越大，无人机容量与电池组容量共同对配送方案产生影响。为以后无人机送货上门服务方面的研究提供参考和思路。     

The Movingo integrated ticket: seamless connections across the mälardalen region of Sweden

ABSTRACT

The need for improved public transport (PT) ticketing in ever-growing deregulated PT markets has made well-designed integrated ticketing systems a priority area of intervention for PT service providers around the world. Yet, very little practical evidence of its impacts are reported in Sweden and in the world at large. The focus of this study was the impacts of the Movingo integrated ticketing scheme in terms of PT patronage, user satisfaction and the perceived quality of the ticketing set-up. Three travel surveys were conducted along the Stockholm-Uppsala route. Methods including logistic regression and correlated t-tests were used to analyse the samples. The findings suggest that the scheme made rail commuting more attractive resulting in an overall increase of about 24% in ticket sales with 3% – 15% car commuters reporting that they patronised PT services after the project. The scheme also resulted in increased rail commuter satisfaction. The overall perceived quality of the ticketing set-up did not however improve due to interoperability challenges. Service providers’ uncertainty about equitable distribution of revenue among the participating service providers, interoperability challenges and the lack of interest among most of the participating service providers to sell Movingo tickets are some issues to be addressed.     

货车自动驾驶技术及标准法规发展分析

目前,自动驾驶技术在乘用车领域已获得突破性发展;为提高通行效率和出行安全起到了极大的作用。自动驾驶技术在商用车领域的应用,有望较好解决高昂的人力成本和难以提高的效率等问题。然而,目前自动驾驶技术在货车的应用大多采用跟乘用车同样的标准进行规范,这在实际应用中存在着诸多的问题;例如,在FCW和AEB功能中货车在相同车速的制动距离要远大于乘用车,而其所采用标准规定的碰撞预警时间却并无多大不同,这在实际场景中存在着较大的安全隐患[1,2]。此外,货车质量和体积较大,且较多应用于长途运输,运输过程中会经历包括高温、严寒、山区等多种复杂气候场景,这些都将对货车自动驾驶技术在车辆制动效能、能耗以及多场景应用等方面提出更有针对性规范的要求。本文针对货车的应用场景特点,为其自动驾驶技术应用标准化提出了建议。     

Integrated models of land use and transportation for the autonomous vehicle revolution

ABSTRACT

The advent of the autonomous vehicle (AV) will affect not only the transportation system, but also future patterns of land development. Integrated land use and transportation models will be critical tools in assessing the path forward with this technology. Key questions with respect to land use impacts of AVs arise from potential changes in sensitivity to travel and reduced demand for parking. It is an open question whether AVs will induce urban sprawl, or whether spatial economies of agglomeration will mitigate any reductions in travel time sensitivity. The deployment of shared fleets of AVs would likely reduce parking demand, producing yet to be explored impacts on property development within existing urban footprints. We perform a critical assessment of currently operational models and their ability to represent the adoption of AVs. We identify the representation of time in such models as a vital component requiring additional development to model this new technology. Existing model applications have focused on the discrete addition of new infrastructure or policy at a fixed point in time, whereas AV adoption will occur incrementally through time. Stated adaptation surveys are recommended as tools to quantify preferences and develop relevant model inputs. It is argued that existing models that assume comparatively static equilibrium have been convenient in the past, but are insufficient to model technology adoption. In contrast, dynamic model frameworks lack sufficient structure to maintain reasonability under large perturbations from base conditions. The ongoing advancement of computing has allowed models to move away from being mechanistic aggregate tools, towards behaviourally rich depictions of individual persons and firms. However, much work remains to move from projections of existing conditions into the future, to the evolution of the spatial economy as it evolves through time in response to new technologies and exogenous stresses. Principles from complex and evolutionary systems theory will be important in the development of models with the capacity to consider such dynamics.     

基于AHP-TOPSIS的山区低等级公路路面破损评价方法

以山区低等级公路路面为研究对象,依据不同种类路面的破损危害性不同,拟在公路路面评价中提出路面破损指数概念,对山区低等级公路路面破损程度进行综合评价。所用模型是利用层次分析法(AHP)对不同种类的路面损毁危害性进行赋权,并利用逼近理想解排序法(TOPSIS)计算山区低等级公路路面破损程度与最优情况的贴近度,进而将山区低等级公路路面破损情况转化成区间为[0,1]的路面破损指数,其中路面破损指数越大表示路面的破损程度越高。此模型方法简单,能够运用少量数据对山区低等级公路路面的破损程度进行定量评价,可为山区公路的养护工作提供更准确的数据参照。     

重庆轨道交通环线电力监控与数据采集系统的建设与创新

基于电力监控与数据采集系统深度集成于综合监控系统的弊端分析,介绍了重庆环线电力监控与数据采集系统独立组网的自立分层分布式系统结构,及其在控制中心与综合监控系统的互联。介绍了基于电力系统CIM(公用信息模型)和CIS(组件接口规范)的电力监控与数据采集系统模型建立,详细阐述了重庆环线电力监控与数据采集系统的程序控制技术及远程图形服务技术,以及该系统在能源管理及其他高级应用方面取得的创新成果。     

丰都丁庄裂口工业区滑坡的致滑概率研究

笔者通过对丰都丁庄裂口工业区滑坡的机理分析及工程实践经验,总结出了滑坡致滑的四大主要因子———内因、库位降落、暴雨和地震.提出了各因子致滑概率的度量指标及其致滑概率的标准值,建立了概率统计分析方法,并将此方法用于丰都丁庄裂口工业区滑坡的致滑概率分析,所得的结论与实际情况比较吻合.     

半约束模型试验--一种验证随浪和斜浪中波浪力计算的手段

本文采用半约束模型试验技术，对一条高速船在规则波中随浪和斜浪工况进行了流体动力系列试验，以探讨航运的安全性，验证作用于船体上波浪力的估算方法。对每次试验，以波动方程的形式采用数值估算方法确定环绕船模的波浪运动的时间历程。并用同样的方法从测量数据中提取垂荡和纵摇与模型测量运动，一阶波导纵荡、横荡作用力和首摇力矩。因此合理比较理论计算的波浪力与力矩的时间历程成为可能。这表明SSPA海事动力学的研究所(MDL)模型试验设施可以提供高质量的测量，与所述计算方法结合起来可用来验证理论计算和建立半经验方法。     

比例先行数字PID控制器的仿真

主要描述了通过比例先行的PID控制器,使用采样控制系统对惯性热工对象进行控制这一过程的仿真,并对仿真结果进行了简单的分析.     

江淮气旋大风预报研究

江淮气旋大风预报研究的结果表明：气旋大风的预报实际上就是冷空气南下造成地面加压与气旋东移造成地面降压，这两个因素所造成气压梯度发展变化地以预报。还介绍用天气学原理建立的大风预报模式，以及用数理统计方法判别有无强风的预报，经过历史拟合和试报，在预报气旋大风中有一定的准确性。